code: def get_weight_range(weights):
      # type: (FeatureWeights) -> float
      """Max absolute feature for pos and neg weights."""
      return max_or_0(
          abs(fw.weight)
          for lst in [weights.pos, weights.neg]
          for fw in lst or []
      )
  
imports: from __future__ import absolute_import
  from itertools import groupby
  from typing import List, Optional, Tuple
  import numpy
  from jinja2 import Environment, PackageLoader
  from eli5 import _graphviz
  from eli5.base import Explanation, TargetExplanation, FeatureWeights, FeatureWeight
  from eli5.utils import max_or_0
  from .utils import format_signed, format_value, format_weight, has_any_values_for_weights, replace_spaces, should_highlight_spaces
  from .None import fields
  from .features import FormattedFeatureName
  from .trees import tree2text
  from .text_helpers import prepare_weighted_spans, PreparedWeightedSpans
label_desc: Use image node_id 10 for calling a global function with example usage: get_weight_range(weights) and returns: max_or_0